Lead AI Solutions Architect – Legal Operations
Posted 1 day ago by Rangam Consultants
Negotiable
Undetermined
Remote
Remote
Summary: The Lead AI Solutions Architect for Legal Operations is a hands-on role focused on developing AI-powered tools and automation solutions tailored for a legal department. The position involves collaborating directly with attorneys to identify challenges and design applications using advanced AI technologies. The role emphasizes a strong technical background in AI and full-stack development, with a focus on improving legal workflows through innovative solutions. This position is remote and offers a 37.5-hour work week.
Key Responsibilities:
- Knows how to build systems with different AI tools (ChatGPT, Copilot)
- Level 2 (5-9 years) & level 3 (10+ years)
- Potential conversion after 6 months based on performance
- Legal experience is preferred but not required. Heavy focus on tech.
- Architect how AI agents, large language models, and automation platforms integrate across legal workflows
- Directly build internal tools, working side-by-side with attorneys to understand requirements, prototype solutions, iterate based on feedback, and ship production-quality applications
- Own the full engineering lifecycle of internal tools: design, development, testing, deployment, and ongoing maintenance
- Ensure tools comply with data governance, security, and confidentiality requirements
- Monitor tool performance and usage, proactively identifying where systems need to be rethought or rebuilt
- Translate legal requirements into engineering specifications and build solutions that attorneys find intuitive and trust
- Collaborate with IT and Security to ensure tools are properly hosted, secured, and integrated with existing infrastructure
- Map current legal workflows end-to-end to identify inefficiencies, manual bottlenecks, and automation opportunities
- Redesign processes before deploying technology, fixing the process first, then building the system around it
- Develop and maintain a living operating model for how legal services are designed, staffed, and delivered
- Define what stays in-house, what AI handles, and what goes to outside counsel, and build the workflows to execute that model
Key Skills:
- Advanced hands-on technical expertise in AI/ML engineering (including LLMs, computer vision, NLP, etc.) and modern full-stack development
- Experience with cloud environments (AWS, Google Cloud Platform, Azure) and scaling MLOps for model training, deployment, inference, and monitoring
- Ability to develop a long-term technical vision and align it with overall product and business strategy
- Excellent communication skills to convey complex technical concepts to both technical and non-technical audiences
Salary (Rate): £80,000 yearly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Lead AI Solutions Architect – Legal Operations
This is a hands-on AI Architect / AI Engineering role where someone will build AI-powered tools and automation solutions for a legal department.
The person will work directly with attorneys to understand their challenges and then design and build AI applications using tools like ChatGPT, Microsoft Copilot, LLMs, automation platforms, and cloud technologies.
Remote - 37.5 work week
Key Responsibilities
- Knows how to build systems with different AI tools (ChatGPT, Copilot)
- Level 2 (5-9 years) & level 3 (10+ years)
- Potential conversion after 6 months based on performance
- Legal experience is preferred but not required. Heavy focus on tech.
AI & Technology Architecture
- Architect how AI agents, large language models, and automation platforms integrate across our legal workflows
- Directly build internal tools, working side-by-side with attorneys to understand requirements, prototype solutions, iterate based on feedback, and ship production-quality applications
- Own the full engineering lifecycle of internal tools: design, development, testing, deployment, and ongoing maintenance
- Ensure tools comply with data governance, security, and confidentiality requirements
- Monitor tool performance and usage, proactively identifying where systems need to be rethought or rebuilt
- Translate legal requirements into engineering specifications and build solutions that attorneys find intuitive and trust
- Collaborate with IT and Security to ensure tools are properly hosted, secured, and integrated with existing infrastructure
Legal Process Engineering
- Map current legal workflows end-to-end to identify inefficiencies, manual bottlenecks, and automation opportunities
- Redesign processes before deploying technology, fixing the process first, then building the system around it
- Develop and maintain a living operating model for how legal services are designed, staffed, and delivered
- Define what stays in-house, what AI handles, and what goes to outside counsel, and build the workflows to execute that model
Requirements
- Advanced hands-on technical expertise: Demonstrated hands-on expertise in both AI/ML engineering (including LLMs, computer vision, NLP, etc.) and modern full-stack development as an individual contributor.
- Experience with cloud and MLOps: Proficiency with cloud environments (AWS, Google Cloud Platform, Azure) and scaling MLOps for model training, deployment, inference, and monitoring
- Strategic thinking: Ability to develop a long-term technical vision and align it with overall product and business strategy
- Excellent internal and external communication: The ability to communicate complex technical concepts to both technical and non-technical audiences, including executive leadership and partners